# Senior Solutions Architect, Simulations - Clinical Sciences and Autonomous Lab

**Company**: NVIDIA
**Location**: Remote
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Solutions-Architect--Simulations---Clinical-Sciences-and-Autonomous-Lab_JR2017934?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4c6141f2-316

## Description

We are seeking a Senior Solutions Architect to drive innovation with healthcare and life sciences customers across North America, focusing on GPU-accelerated simulations for clinical sciences and autonomous labs.

As a pioneer in accelerated computing, NVIDIA empowers pharmaceutical, biotech, and healthcare organisations to unlock new possibilities in patient modelling, laboratory and biomanufacturing robotic systems, and multi-agent reasoning.

In this role, you will partner with leading pharmaceutical companies, techbios, and software builders to design, implement, and optimise GPU-accelerated AI software.

Key responsibilities include:

- Guiding customers through the end-to-end adoption of GPU-accelerated AI, from requirements gathering and proof-of-concept development to deployment, integration, and ongoing optimisation.

- Architecting libraries such as GPU-accelerated solvers for quantitative systems pharmacology and CPU-to-GPU migration of scientific workloads.

- Performing low-level CUDA optimisation, including custom kernels to accelerate simulation and inference workloads in drug discovery.

- Building physical AI and robotics solutions for autonomous labs and biomanufacturing such as sim-to-real VLA pipelines, real-time control layers, and integration of perception, control, and policy stacks on NVIDIA platforms.

- Designing and deploying biomedical agentic AI systems, such as graph-based retrieval, multi-hop clinical reasoning, and persistent agent memory.

- Keeping up to date on AI advancements in healthcare, including domain-specific models, robotics, and agentic frameworks.

- Engaging with life science executives, IT leaders, data scientists, and developers to drive adoption of NVIDIA AI stack.

- Sharing your findings through training sessions, white papers, blog posts, and conference talks.

Requirements include:

- A Master's degree, PhD, or equivalent experience in Computer Science, Biomedical Engineering, Computational Biology, Computational Chemistry, Robotics, or related fields with strong applied experience.

- 8+ years of experience.

- A proven track record in software development for AI/ML, scientific computing, GPU acceleration, or robotics applied to healthcare or life sciences.

- Hands-on experience across at least two of the three focus areas: GPU-accelerated scientific simulation, sim-to-real robotics, and end-to-end agentic AI.

- Proficiency in Python and AI/ML frameworks (PyTorch, LangChain, or custom). Experience with C/C++ and CUDA strongly preferred.

- Experience deploying and scaling GPU-accelerated solutions in cloud or HPC environments (OCI, AWS, Azure, or on-prem clusters).

- Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences.

Up to 20% travel may be required for on-site customer engagements.

## Skills

### Required
- Python
- AI/ML frameworks
- GPU acceleration
- Robotics
- Biomedical Engineering
- Computational Biology
- Computational Chemistry
- Quantitative Systems Pharmacology
- CPU-to-GPU migration
- Low-level CUDA optimisation
- Custom kernels
- Sim-to-real VLA pipelines
- Real-time control layers
- Perception, control, and policy stacks
- Graph-based retrieval
- Multi-hop clinical reasoning
- Persistent agent memory

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Solutions-Architect--Simulations---Clinical-Sciences-and-Autonomous-Lab_JR2017934?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)